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External validation of Machine Learning models for COVID-19 detection based on Complete Blood Count
PURPOSE: The rRT-PCR for COVID-19 diagnosis is affected by long turnaround time, potential shortage of reagents, high false-negative rates and high costs. Routine hematochemical tests are a faster and less expensive alternative for diagnosis. Thus, Machine Learning (ML) has been applied to hematolog...
Autores principales: | Campagner, Andrea, Carobene, Anna, Cabitza, Federico |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8540880/ https://www.ncbi.nlm.nih.gov/pubmed/34721844 http://dx.doi.org/10.1007/s13755-021-00167-3 |
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